Figure 1.

Overview of the ArchAlign algorithm. (a) High-resolution chromatin structural data from regions of interest are converted into
log2 ratios and aligned within a user defined alignment frame. (b) ArchAlign has two options for aligning chromatin structural patterns: 1, single-best-pair
uses the two regions with the highest similarity, by Pearson or Spearman correlation
or by Euclidian distance, to seed a single progressive alignment; 2, seed sampling
is a more comprehensive search of the possible alignment space, which uses every region
within the alignment as a possible seed for an independent alignment. The best alignment
is selected as the one that maximizes the correlation across all regions in the alignment
frame.